Xalgorix
Summary
Most scanners hand your team a list of potential issues and walk away — leaving engineers to triage false positives instead of fixing real risk. Xalgorix runs a 22-phase autonomous pentest and refuses to report a vulnerability until it has reproduced the exploit.
The core loop is detect, chain, verify: the agent runs reconnaissance through injection through authentication testing, then executes a dedicated validation phase before anything reaches your report. On a public deliberately-vulnerable target, the vendor documents 9 verified findings including a CVSS 9.8 RCE in 17 minutes. The REST API and cron-style scheduling let security teams wire scans directly into CI/CD gates, so releases block on verified findings rather than scanner noise. Where the architecture shows its limits: scan depth and concurrency are credit-gated, and teams running continuous coverage across a wide attack surface will need to budget credits carefully. Self-hosted deployment is listed as an option for teams with data-residency requirements.
Bottom line: Pick Xalgorix when your pipeline needs proof-backed go/no-go gates on a defined set of targets — but if your attack surface spans hundreds of applications requiring parallel, concurrent sweeps, the credit model and sequential multi-target queue will force a workaround.
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Self-serve
Scans from $1, credits never expire
- SSO, self-hosted invoicing for teams
- No card required to try
Pricing may have changed since last verified. Check the official site for current plans.
Pricing Plans
Usage-Based- Price
- from $1 per scan
Self-serve
Credits from $1, never expire, no card required to try
- Single or multi-target scans
- Full 22 phases or focused subsets
- Branded PDF reports
View full pricing on xalgorix.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Exploit-verified findings only — the validation phase confirms each vulnerability with a working proof-of-concept before reporting, so engineers fix real risk instead of auditing a noisy candidate list.
- REST API with programmatic scan creation and report retrieval, which means CI/CD pipelines can gate releases on verified findings without a human in the review loop for every build.
- Cron-style recurring scans provide continuous attack surface coverage, so a newly deployed endpoint does not wait for the next manual engagement to get tested.
- Branded PDF reports include executive summary, severity breakdown, proof-of-concept, and remediation steps with dated evidence, which means audit deliverables are a direct export rather than a manual writeup.
- Self-hosted deployment option means organizations with data-residency requirements or air-gap mandates can run the platform without routing target data through the vendor's infrastructure.
Cons
Sign in to edit- Multi-target scans process sequentially, not in parallel — a queue of ten applications runs one at a time with full state recovery between jobs. Teams needing simultaneous coverage across a large asset inventory hit this ceiling immediately and either reduce scope per run or build a scheduling layer on top of the API to manage the queue themselves.
- Scan depth and breadth are credit-gated, with no fixed monthly allocation described in the docs. Teams running continuous coverage on a wide attack surface face unpredictable credit burn during high-change deployment periods, and the only mitigation is manually narrowing phase selection or scan frequency.
- The 22-phase methodology is fixed by the vendor — you can focus on subsets of phases, but you cannot inject custom test logic or extend the agent's toolset. Security teams with proprietary attack patterns or bespoke application architectures that require custom modules will hit this wall and move to a platform that exposes the agent's tool layer for extension, such as an open framework where the testing logic is fully configurable.
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About
- Platforms
- Web dashboard, REST API
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-07-08T12:59:07.945Z
Best For
Who it's for
- Security teams needing exploit-verified findings
- Engineering pipelines requiring proof before fixes
- Organizations wanting low-friction autonomous testing
What it does well
- Autonomous web application pentesting
- CI/CD pipeline security gating
- Verified vulnerability reporting for auditors
- Continuous attack surface monitoring
Integrations
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Frequently Asked Questions
- Is Xalgorix free?
- Xalgorix is a paid tool (from $1 per scan). No permanent free tier is offered.
- Is Xalgorix open source?
- Yes. Xalgorix is open source.
- Does Xalgorix have an API?
- Yes. Xalgorix exposes a developer API. See the official documentation at https://xalgorix.com for details.
- Can I self-host Xalgorix?
- Yes. Xalgorix supports self-hosting on your own infrastructure.
- What platforms does Xalgorix support?
- Xalgorix is available on: Web dashboard, REST API.
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Curated lists that include this category
Vulnerability scanners that report without verifying force your engineers into a second job: manually confirming whether each finding is real before a fix is worth writing. Xalgorix addresses this by running a 22-phase autonomous pentest — covering reconnaissance, injection, authentication, IDOR, CORS, upload, cloud, WebSocket, and more — and executing a dedicated exploit-verification loop before any finding reaches the report. The result is a dated, evidence-backed PDF with proof-of-concept included, not a list of candidates.
The differentiating mechanism is the verification phase itself. Where conventional scanners flag a potential blind SQL injection based on response patterns, Xalgorix attempts to chain the finding into a working exploit — the vendor’s sample report shows a 5012ms time-delta confirmation followed by an admin-token extraction chain. Findings that cannot be reproduced do not appear. That constraint cuts false-positive noise at the source rather than pushing triage downstream to your team.
Xalgorix fits engineering pipelines that need a binary gate — verified critical finding present or absent — and security teams producing audit deliverables where dated, signed evidence matters. It fits less well when you need to run a large number of targets in parallel on a tight timeline: the docs describe multi-target queues as sequential with full state recovery, meaning parallel concurrency across a wide asset inventory is not the architecture. Teams reaching that ceiling either scope their scan targets more narrowly or move to a platform built for fleet-scale concurrent execution.
The REST API covers scan creation, status polling, and report retrieval, so CI/CD integration is a direct wire-in rather than a webhook workaround. Live scan telemetry streams over WebSocket — tool calls, agent messages, HTTP activity, and phase progress — which means your pipeline can react to in-progress findings rather than waiting for a final report. The vendor states the multi-LLM backend runs across GPT-5, Claude, and Gemini; you do not manage provider keys or routing. A self-hosted deployment path is available for organizations with data-residency or air-gap requirements.